InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Rust: a Productive Language for Writing Database Applications
Carl Lerche discusses Rust's potential for higher-level applications & shares productivity tips.
/presentations/rust-database/en/mediumimage/carl-lerche-medium-1748590141360.jpg)
-
What to Pack for Your GenAI Adventure
Soledad Alborno discusses essential skills and new tools for building successful Generative AI products.
/presentations/genai-product-management/en/mediumimage/soledad-alborno-medium-1747915708705.jpg)
-
Scaling Large Language Model Serving Infrastructure at Meta
Ye (Charlotte) Qi explains key considerations for optimizing LLM inference, including hardware, latency, and production scaling strategies.
/presentations/llm-meta/en/mediumimage/ye-charlotte-qi-medium-1747727365712.jpg)
-
Ultra-Fast In-Memory Database Applications with Java
Markus Kett shares how to build the fastest database applications using Java & EclipseStore, bypassing traditional database limitations.
/presentations/eclipse-store/en/mediumimage/markus-kett-medium-1744788360662.jpg)
-
Stream All the Things — Patterns of Effective Data Stream Processing
Adi Polak shares effective data stream processing patterns, common mistakes, and exactly-once semantics.
/presentations/streaming-patterns/en/mediumimage/adi-polak-medium-1745994508036.jpg)
-
From "Simple" Fine-Tuning to Your Own Mixture of Expert Models Using Open-Source Models
Sebastiano Galazzo shares practical tips and mistakes in creating custom LLMs for cost-effective AI. Learn LoRA, merging, MoE & optimization.
/presentations/mixture-expert-models/en/mediumimage/sebastiano-galazzo-medium-1744710295307.jpg)
-
How Green is Green: LLMs to Understand Climate Disclosure at Scale
Leo Browning explains the journey of developing a Retrieval Augmented Generation (RAG) system at a climate-focused startup.
/presentations/rag-llm/en/mediumimage/leo-browning-medium-1741333444936.jpeg)
-
GenAI for Productivity
Mandy Gu shares Wealthsimple's journey leveraging generative AI for productivity and operational optimization.
/presentations/genai-productivity/en/mediumimage/manduy-gu-medium-1744714396873.jpeg)
-
LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries
Stefania Chaplin and Azhir Mahmood discuss responsible, secure, and explainable AI in regulated industries. Learn MLOps, legislation, and future trends.
/presentations/llm-ml-security/en/mediumimage/azhir-stefania-medium-1741181597784.jpg)
-
Responsible AI for FinTech
Lexy Kassan discusses responsible AI: regulation (EU AI Act, FinTech), ethical principles, governance, and FinTech's disruptive response.
/presentations/ai-fintech-ethics/en/mediumimage/lexy-kassan-medium-1741180132624.jpg)
-
Unleashing Llama's Potential: CPU-Based Fine-Tuning
Anil Rajput and Rema Hariharan detail CPU-based LLM (Llama) optimization strategies for performance and TCO reduction.
/presentations/llama2/en/mediumimage/anil-rajput-rema-hariharan-medium-1743448668469.jpg)
-
Rockset - Building a Modern Analytics Database on Top of RocksDB
Igor Canadi discusses building a real-time search analytics database on RocksDB, covering cloud-native design, replication, shared storage, and analytics.
/presentations/rockset/en/mediumimage/igor-canadi-medium-1742296674079.jpeg)